GreenSight is a young research project dedicated to exploring how algae can contribute to solving future challenges in energy, food, and environmental protection. Using smart sensor networks, we monitor water quality and algal growth — processes that are crucial for sustainable biotechnology. Our aim is to make this monitoring reliable and accessible, so that algae cultivation can be better understood and improved in practice.
At the technical level, we are developing distributed sensor systems connected via LoRaWAN networks. These sensors continuously record environmental parameters such as temperature, CO₂, oxygen, pH, nutrients (NPK), and light absorption. By integrating these data into cloud platforms, we apply machine learning methods to reveal correlations between environmental conditions and algal physiology. This enables us to characterize growth dynamics, identify stress factors, and move toward automated control of cultivation systems.
Our long-term vision is to establish compact, multi-channel optical sensors — such as RGB and hyperspectral chips — as core tools for classifying algal cultures based on their spectral fingerprints. Linking optical signals with physiological models paves the way for real-time metabolic profiling and autonomous, AI-driven photobioreactors. Beyond algal biotechnology, these methods can support environmental monitoring and sustainable agriculture, contributing to the design of intelligent and adaptive biotechnological systems.
To achieve these goals, Greensight works at the intersection of biology, engineering, and data science. We collaborate with universities, research institutes, and industrial partners to ensure that our methods can be transferred from the laboratory to large-scale applications. This interdisciplinary approach strengthens the scientific foundation of our work while aligning our innovations with practical challenges in sustainability, climate resilience, and resource management.
Looking ahead, we envision intelligent sensor networks that continuously learn from their environment, forming digital twins of algal systems. These virtual models will enable predictive simulations and guide operators in optimizing cultivation strategies in real time. By combining sensor fusion, explainable AI, and open data platforms, Greensight aims to provide a blueprint for the next generation of biotechnological infrastructures — scalable, autonomous, and deeply integrated into future environmental and agricultural systems.